Shock tube study on auto-ignition characteristics of kerosene/air mixtures
Bibliographic record
Abstract
点火延期时间在在 1445 和 1650 K 之间的温度在反映的冲击波后面为煤油 / 空气混合物被获得，在 0.11 MPa 和 1.0 的等价比率的一个压力。有 Laval 嘴的一台 nebulization 设备习惯于使成雾状煤油并且形成一个喷雾器阶段，它在事件冲击波后面很快蒸发并且扩散。在反映的冲击波后面的混合物汽车点燃。ICCD 被用来设想煤油 / 空气混合物点火特征。混合物点火紧张随起始的温度的增加增加。当飞机和不连续的火焰在 1560 K 上存在时，连续、不规则的火焰在 1515 K 下面存在。点火延期时间随起始的温度的增加减少。试验性的数据证明对结果的好同意在文学以前报导了。一个新代理人(由 10% 甲苯， 10% ethylbenzene 和 80% n-decane 组成) 为煤油被建议。Honnet et al.s 机制被用来模仿煤油的点火，计算与试验性的数据同意很好。反应 H+O2?OH+O 的敏感，显示出最高的敏感到点火延期时间，随温度的增加增加。与 O2 突破 CH3 的反应的链加速全部的反应率， n-decane 的 H 原子抽象控制全部的反应率。生产和即时热生产的率显示那二反应， H+O2?OH+O 和 O+H2?OH+H，是对形成的关键反应哦激进分子，以及主要吸热的反应。然而， R3 的反应在点火期间是主要的热版本反应。火焰结构分析证明起始的压力作为公司稍微被增加， H2O 将出现在主要点火前。
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".